iMocha helps L&D Managers and HR professionals maintain an accurate and up-to-date skills taxonomy.
The Discovered Skills feature in iMocha helps L&D Managers and HR professionals maintain an accurate and up-to-date skills taxonomy. As employees gain new skills through resumes, job profiles, projects, or self-reported updates, these skills are automatically identified by the system. Instead of being added directly to the taxonomy, they are listed for review—allowing managers to accept, reject, or further evaluate them. This ensures skill accuracy, eliminates redundancies, and helps maintain a clean, structured skill framework aligned with organizational goals.
With this feature, L&D Managers gain greater control and visibility over skill updates, ensuring their skill database remains accurate, current, and aligned with evolving workforce capabilities.
To navigate to Discovered Skills section,
- Login to Talent Management portal.
- Go to Skills Architecture -> Discovered Skills. You will find a categorized overview that helps you understand and manage newly inferred skills efficiently.
Overview:
Total Number of Discovered Skills
Displays the complete count of skills identified from various sources awaiting action.
Discovered skills by status
Categorizes skills based on their current review status:
Discovered skills by status
Categorizes skills based on their current review status:
- Yet to Review: Skills not yet evaluated
- Accepted: Skills approved and added to the taxonomy
- Rejected: Skills that were reviewed but not added
- Under Review: Skills currently being evaluated
Discovered skills by source
Shows where each skill was inferred from—such as resumes, job profiles, projects, or employee requests—giving context to its origin.
Growth Percentage in Taxonomy
Highlights how much your overall taxonomy has expanded as a result of discovered skills, providing a quick view of progress.
Search and Filter Discovered Skills
Search Bar
Quickly locate a specific skill by entering its name into the search bar.
Filter by:
- Status
Refine the list based on review status—Yet to Review, Accepted, Rejected, or Under Review. - Skill
Focus on a particular skill from the list by selecting it from the skill filter. - Sources
View skills inferred from a specific source, such as resumes, certifications, job profiles, projects, or employee requests. - Number of Sources
Identify skills that have been discovered from multiple sources, giving you more confidence in their relevance. - Filter by Date Discovered
Sort or filter skills based on when they were inferred, allowing you to prioritize recent additions.
Identifying a Discovered Skill
Discovered skills are automatically identified by iMocha’s platform through various sources such as resumes, job profiles, projects, and employee inputs. These inferred skills are flagged for review and do not directly enter the skills taxonomy. Instead, they appear in the Discovered Skills section where managers can validate and take appropriate action.
Reviewing a Discovered Skill
Reviewing begins with skills marked Yet to Review and allows managers to assess their relevance before accepting or rejecting them. This ensures only verified skills are added to the taxonomy.
Skills that are newly inferred from sources like resumes, job profiles, or employee requests are initially marked as Yet to review. These are the skills awaiting action from L&D Managers or Admins. In this stage, users can:
- View the name of the discovered skill.
- See the list of sources it was inferred from.
- Choose to Accept, Reject the skill.
This is the first step in validating skills before adding them to the organization’s skills taxonomy.
Rejecting a skill
When you click Reject on a skill marked Yet to review, a confirmation pop-up appears on the screen.
Click Yes, reject if you do not wish to review or include the skill in your organization’s taxonomy.
The skill status will be marked as Rejected.
Accepting a skill
When you click Accept on a skill marked Yet to review, a confirmation pop-up appears on the screen.
To proceed, click Yes, Accept — this allows you to add additional information such as domain, sub-domain, skill cluster etc. before adding the skill to your organization’s taxonomy.
After accepting the skill, you can provide additional details, such as the domain, sub-domain, and skill cluster, to enrich the skill's profile within your organization’s taxonomy.
Skill Information
Domain, Sub-domain, skill cluster and skill name will be auto-populated here.
You can add the Skill and Skill Display Name.
Skill Classification
It will specify how this skill should be categorized within the taxonomy. Skill Classification provides a drop-down menu which will help choose the appropriate option.
Select Yes, if the skill is critical for your organization.
Skill Rubric
Click Generate Description to auto-generate a 4-level proficiency rubric for the selected skill using AI.
In this example, a proficiency description for SQL is generated.
Note: If you're not satisfied with the result, click Regenerate Description to generate an alternate version.
Mapped Question Bank and Certificates
The Mapped Question Bank displays the assessment questions linked to the SQL skill.
For certificate-related queries, please mail at support@imocha.io.
Adjacent Skills
Adjacent skills are those that frequently appear alongside SQL in job descriptions, resumes, certifications, and project work. These skills typically complement SQL and are associated with SQL in various professional roles like data analysts, backend developers, and database administrators.
Click Generate to trigger AI-based generation of adjacent skills for SQL, helping you identify complementary skills commonly used alongside it.
Post generation:
Click Regenerate if you're not satisfied with the initial list of adjacent skills—this will refresh the suggestions with an alternate set.
You will receive a confirmation message before you proceed with regeneration of skills.
Missing Skills
To ensure your skills taxonomy remains up-to-date and aligned with evolving business needs, iMocha identifies missing skills using AI and employee inputs. These newly inferred skills, which are not yet part of the taxonomy, may appear tagged as Missing Skill(s). This helps organizations maintain a complete and relevant taxonomy.
Adding a Skill to Taxonomy
Once all the required information is filled in, click Add to taxonomy.
The skill will then be added to your iMocha taxonomy.
With iMocha’s Discovered Skills feature, organizations can intelligently evolve their skills taxonomy by identifying and validating skills surfaced through resumes, certifications, job roles, and more. This article outlines an overview of the process—from viewing and filtering to accepting and adding skills to the taxonomy. This feature keeps the taxonomy current, complete, and aligned with organizational goals.
For any queries, mail us at support@imocha.io.